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Softmatic Solutions

Job Title: Azure Data EngineerLocation: Ali block, Garden Town, LahoreJob Type: (11:00 AM to 08:00 PM) | Onsite | Full-TimeExperience: 1&ndash;2 YearsJoin Our Team at Softmatic Solutions:We are a software development firm offering expert application and game development services, including Xamarin, Cocos2d, Unity, Flutter, Native Android, and Native iOS. Additionally, we specialize in WordPress development, .NET solutions, and Power BI for data visualization and business intelligence.Recommendations are more than welcome. Job Summary: We are seeking an Azure Data Engineer with intermediate-level expertise to design, build, and maintain scalable data solutions. The ideal candidate will have hands-on experience with ETL/ELT pipelines, Azure data services, and strong analytical skills to support business intelligence and data-driven decision-making.Required Skills &amp; Qualifications:<ul><li>1&ndash;2 years of experience in data engineering or related field.</li><li>Proficiency in SQL and Python for data processing.</li><li>Hands-on experience with Azure Data Services (Data Factory, Data Lake, Synapse, Azure SQL).</li><li>Familiarity with Power BI and Power Apps for reporting and visualization.</li><li>Strong understanding of data warehouse concepts and best practices.</li><li>Excellent analytical and problem-solving skills.</li></ul>Why Join Us?<ul><li>Work in a fast-paced and innovative environment.</li><li>Opportunities for professional growth and development.</li><li>Collaborative and supportive team culture.</li><li>Competitive salary and benefits package.</li></ul>Job Type: Full-timeWork Location: In person

Azure Data Engineer

Burq

<div>About Burq 
 
Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution. 
 
It's a big mission and now we want you to join us to make it even bigger! 
 
We're already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe. 
 
We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career. 
 
The Role 
 
As one of our first Data Engineers, you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You'll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences. 
 
This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities. 
 
What You'll Do 
<ul>
<li>
Design &amp; Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices)</li>
<li>Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems</li>
<li>Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools</li>
<li>Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making</li>
<li>Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance</li>
Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales 
<li>
</li>
</ul>Requirements
Requirements 
Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment
Technical Skills:<ul>
<li>
Proficiency with SQL and at least one programming language (Python, Scala, or Java)</li>
<li>Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)</li>
<li>Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)</li>
<li>Hands-on experience with data streaming (Kafka, Kinesis) is a plus</li>
Mindset: A builder mentality&mdash;comfortable with ambiguity, fast iterations, and working in a small but mighty team 
<li>
</li>
</ul>Benefits
Investing in you 
At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status</div>

Data Engineer

<div>
 
 About Burq
 
 
 
 Burq started with an ambitious mission: how can we turn the complex process of offering delivery into a simple turnkey solution.
 
 
 It's a big mission and now we want you to join us to make it even bigger! 🚀
 
 
 We're already backed by some of the Valley's leading venture capitalists, including Village Global, the fund whose investors include Bill Gates, Jeff Bezos, Mark Zuckerberg, Reid Hoffman, and Sara Blakely. We have assembled a world-class team all over the globe.
 
 
 We operate at scale, but we're still a small team relative to the opportunity. We have a staggering amount of work ahead. That means you have an unprecedented opportunity to grow while doing the most important work of your career.
 
 
 
 The Role
 
 
 
 As one of our first
 
 Data Engineers
 
 , you will be responsible for designing, building, and maintaining the pipelines and infrastructure that power our data-driven decision-making. You'll work closely with product, operations, and engineering teams to ensure that data is clean, reliable, and ready to drive insights, from optimizing delivery routes to improving customer experiences.
 
 
 This is a unique opportunity to build scalable data systems from the ground up and shape the foundation of our analytics and AI capabilities.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Design &amp; Build Pipelines: Develop and maintain scalable ETL/ELT processes to ingest, clean, and transform data from multiple sources (internal systems, third-party APIs, IoT devices)
 </li>
 <li>
 Data Modeling: Design and implement efficient data models for analytics, machine learning, and operational systems
 </li>
 <li>
 Infrastructure: Own the data infrastructure, leveraging cloud-native solutions (e.g., AWS, GCP, or Azure) and modern data tools
 </li>
 <li>
 Collaboration: Partner with data scientists, analysts, and software engineers to deliver data products that enable smarter decision-making
 </li>
 <li>
 Data Quality: Implement robust monitoring, validation, and governance to ensure accuracy, security, and compliance
 </li>
 <li>
 Scalability: Architect solutions that can handle rapid growth in data volume and complexity as the business scales
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements
 
 
 
 Experience: 3+ years of experience in data engineering, preferably in a startup or high-growth environment
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Proficiency with SQL and at least one programming language (Python, Scala, or Java)
 </li>
 <li>
 Experience with cloud data warehouses (Snowflake, BigQuery, or Redshift)
 </li>
 <li>
 Familiarity with workflow orchestration tools (Airflow, Dagster, Prefect)
 </li>
 <li>
 Hands-on experience with data streaming (Kafka, Kinesis) is a plus
 </li>
 <li>
 Mindset: A builder mentality&mdash;comfortable with ambiguity, fast iterations, and working in a small but mighty team
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 Investing in you
 
 
 At Burq, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status
</div>

ibex

<div>
 We are seeking a highly motivated and responsible
 
 Data Engineer
 
 to join our dynamic team. This role requires hands-on experience in building scalable data pipelines, managing structured and unstructured databases, and supporting end-to-end data operations. The ideal candidate will bring strong problem-solving skills, a collaborative mindset, and a commitment to data excellence.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and manage reliable and scalable data pipelines.
 </li>
 <li>
 Clean, validate, and transform data from multiple sources for analytics and operational use.
 </li>
 <li>
 Work with large datasets and ensure high data quality and availability.
 </li>
 <li>
 Develop and maintain ETL workflows using standard tools and scripting.
 </li>
 <li>
 Automate data extraction, transformation, and loading processes across systems.
 </li>
 <li>
 Monitor and optimize performance of data workflows for speed and efficiency.
 </li>
 <li>
 Develop, maintain, and optimize complex SQL queries, stored procedures, functions, and views.
 </li>
 <li>
 Design and implement relational database schemas and indexing strategies.
 </li>
 <li>
 Ensure data integrity, security, and compliance within SQL Server environments.
 </li>
 <li>
 Work with MongoDB for storing and querying unstructured or semi-structured data.
 </li>
 <li>
 Design document-based data models and manage performance tuning for MongoDB.
 </li>
 <li>
 Handle replication and backup strategies where applicable.
 </li>
 <li>
 Analyze complex data requirements and translate them into efficient technical solutions.
 </li>
 <li>
 Identify data-related issues, perform root-cause analysis, and deliver timely resolutions.
 </li>
 <li>
 Work closely with data analysts, software engineers, and business stakeholders to understand requirements.
 </li>
 <li>
 Participate in code reviews, team planning sessions, and cross-functional meetings.
 </li>
 <li>
 Take ownership of assigned tasks with accountability and attention to detail.
 </li>
 <li>
 Exhibit a proactive approach to delivering solutions and supporting team goals.
 </li>
 <li>
 Contribute to architectural discussions and recommend improvements based on industry best practices.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 </li>
 <li>
 2&ndash;3 years of experience in data engineering or database development roles.
 </li>
 <li>
 Strong proficiency in SQL Server (T-SQL, indexing, optimization).
 </li>
 <li>
 Hands-on experience with MongoDB or other NoSQL technologies.
 </li>
 <li>
 Familiarity with data pipeline tools and ETL development.
 </li>
 <li>
 Working knowledge of Python or similar scripting languages.
 </li>
 <li>
 Understanding of data modeling, normalization, and data warehousing concepts.
 </li>
 <li>
 Strong analytical thinking and problem-solving skills.
 </li>
 <li>
 Excellent communication and teamwork abilities.
 </li>
 </ul>
</div>

Data Engineer, Tech

Algo

<div>Position: Data Engineer (Azure Platform)

Location: Lahore (on-site)<div> 
Job Description 
<ul><li>Design and develop scalable data warehouse solutions to support analytics and reporting.</li><li>Build and maintain efficient Azure Data Pipelines using Azure Data Factory for ETL processes.</li><li>Develop and optimize Spark jobs using Databricks and PySpark for large-scale data transformations.</li><li>Coordinate with onsite and offshore teams to ensure seamless project execution and business continuity.</li><li>Develop and maintain dashboards and reports using BI tools such as Power BI, Tableau, MicroStrategy, or Qlik.</li><li>Manage the presentation and access layers to ensure secure and efficient data access.</li><li>Work directly with clients and stakeholders to understand requirements and deliver actionable data solutions</li></ul></div> 
Qualifications
<ul><li>BS in Computer Science or a related field with 4-5 years of experience in BI and data management projects.</li><li>Strong expertise in database and data warehouse design, support, and maintenance.</li><li>Proficiency in writing complex SQL and SparkSQL queries.</li><li>Experience in Python and its data-related frameworks.</li><li>Hands-on experience with Databricks and PySpark for data engineering tasks.</li><li>Strong proficiency in Power BI; experience with other BI tools is a plus.</li><li>Experience with Azure Data Platform (Data Factory, Azure SQL, Synapse, Data Lake) is preferred.</li><li>Ability to generate and maintain comprehensive technical documentation.</li><li>Excellent communication and interpersonal skills.</li><li>Strong analytical and problem-solving abilities.</li><li>Willingness to learn and adapt to new technologies and project requirements.</li><li>Experience in data analysis is a plus.</li><li>Ability to work independently and handle critical situations confidently.</li><li>A collaborative, team-oriented mindset.</li></ul></div>

Data Engineer (Azure Platform)

Techbridge Consultancy Services

Location: Siddique Trade Centre, Gulberg III, Lahore, Pakistan Job Type: Full-time (Onsite) Working Hours: 2:00 PM &ndash; 11:00 PM (PKT)About the RoleWe are looking for a motivated Python Data Engineer with 2&ndash;3 years of experience to join our growing data team. You will be responsible for building, optimizing, and maintaining data pipelines and solutions that support business intelligence, analytics, and automation. This is an onsite role in our Lahore office.Key Responsibilities<ul><li>Develop, maintain, and optimize ETL/ELT pipelines using Python and related libraries (Pandas, NumPy, PySpark).</li><li>Write and optimize complex SQL queries for PostgreSQL, SQL Server, and other RDBMS.</li><li>Work with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge) to design and manage scalable data workflows.</li><li>Handle data ingestion, transformation, and validation for reporting and analytics.</li><li>Automate manual processes and integrate data flows across different systems.</li><li>Collaborate with analysts and business teams to ensure reliable and timely delivery of datasets and reports.</li><li>Use Excel and other BI tools for quick data analysis and validation.</li><li>Ensure data quality, security, and compliance in all data operations.</li></ul>Required Skills<ul><li>2&ndash;3 years of professional experience in data engineering, ETL, or backend development.</li><li>Strong proficiency in Python (Pandas, NumPy, PySpark).</li><li>Solid knowledge of SQL (PostgreSQL, SQL Server, or similar).</li><li>Experience with AWS Cloud services (S3, Lambda, Glue, Athena, Step Functions, EventBridge).</li><li>Hands-on experience in Excel for data validation and reporting.</li><li>Familiarity with data warehousing concepts and big data tools.</li><li>Understanding of data modeling, schema design, and performance optimization.</li><li>Strong problem-solving, analytical, and communication skills.</li></ul>Preferred<ul><li>Experience with job orchestration tools (Airflow, Step Functions, etc.).</li><li>Exposure to BI/Reporting tools (e.g., Power BI, QuickSight, Tableau).</li><li>Knowledge of APIs, REST, and data integration techniques.</li><li>Experience with Git and version control.</li></ul>What We Offer<ul><li>Opportunity to work with modern data engineering tools and AWS Cloud.</li><li>Professional growth in a collaborative and supportive environment.</li><li>Onsite role at a prime location in Gulberg III, Lahore</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of professional experience do you have working with Python for data engineering or ETL pipelines?</li><li>How would you rate your proficiency in writing and optimizing SQL queries?</li><li>Are you comfortable working full-time onsite from 2:00 PM to 11:00 PM (PKT) in Gulberg III, Lahore?</li></ul>Language:<ul><li>English (Preferred)</li></ul>Work Location: In person

Python Data Engineer (ETL & AWS)

Datamatics Technology

<div>Position: BI Engineer (Tableau / MicroStrategy / Data Analytics) 
Experience Level: 7+ Years 
Location: Riyadh - Onsite 
Employment Type: Full-time 
Industry Experience : Telecom<h2 class="jobSectionHeader">
About the Role</h2>
We are seeking an experienced BI Engineer / Tableau Developer with a strong background in Business Intelligence, Data Visualization, and Analytics Engineering. The ideal candidate will have hands-on expertise in Tableau, MicroStrategy, QlikSense, Power BI, Teradata, SQL Server, and data governance. This role requires a blend of technical development, administration, performance optimization, and stakeholder engagement to deliver scalable, self-service BI platforms that empower data-driven decision-making.
The candidate should bring proven experience from telecommunications, financial services, and microfinance industries, with a track record of delivering impactful BI solutions, leading teams, and executing technology migration projects.<h2 class="jobSectionHeader"> 
Key Responsibilities</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Analytics</h3><ul><li>
Design, develop, and maintain interactive dashboards and reports using Tableau, MicroStrategy, and QlikSense.</li><li>
Optimize BI extracts, data models, and performance for high efficiency and scalability.</li><li>
Conduct data analysis to support strategic decision-making and business initiatives.</li><li>
Collaborate with cross-functional teams to translate business requirements into BI solutions.</li></ul><h3 class="jobSectionHeader">
Tableau Development &amp; Administration</h3><ul><li>
Administer Tableau Server, including user management, roles, permissions, and governance.</li><li>
Implement best practices in dashboard design, data visualization, and performance optimization.</li><li>
Manage Tableau data sources, ensuring accuracy, consistency, and reliability.</li><li>
Troubleshoot and resolve BI/ETL performance and usability issues.</li></ul><h3 class="jobSectionHeader">
MicroStrategy Development &amp; Maintenance</h3><ul><li>
Develop and optimize MicroStrategy reports, dashboards, schema objects, and project architecture.</li><li>
Lead self-service BI initiatives to empower business users with advanced analytics tools.</li><li>
Ensure seamless integration of MicroStrategy with various databases (Teradata, SQL Server, Vertica, etc.).</li></ul><h3 class="jobSectionHeader">
Data Engineering &amp; Technology Migration</h3><ul><li>
Support technology stack migrations (e.g., Teradata Vertica, SAP BO QlikSense).</li><li>
Maintain data pipelines, transformations, and semantic layers for BI systems.</li><li>
Ensure data integrity, governance, and compliance across reporting platforms.</li></ul><h3 class="jobSectionHeader">
Collaboration &amp; Leadership</h3><ul><li>
Lead BI/analytics projects and mentor junior team members.</li><li>
Engage with stakeholders to gather requirements, deliver insights, and drive adoption of BI tools.</li><li>
Document solutions, processes, and best practices for scalability and knowledge sharing.</li></ul><h2 class="jobSectionHeader"> 
Required Skills &amp; Competencies 
</h2><h3 class="jobSectionHeader">
Technical Skills</h3><ul><li>
BI Tools: Tableau, MicroStrategy, QlikSense, Power BI</li><li>
Databases &amp; ETL: Teradata, SQL Server, HP Vertica, Teradata Utilities</li><li>
Languages: SQL, DAX</li><li>
Design: Semantic Layer Design, SLJM</li><li>
Data Governance: Security roles, user management, data quality, compliance</li></ul><h3 class="jobSectionHeader"> 
Functional Skills</h3><ul><li>
Tableau dashboard development &amp; administration</li><li>
Data visualization best practices &amp; performance optimization</li><li>
Data source integration &amp; management</li><li>
Stakeholder engagement &amp; requirements gathering</li><li>
Troubleshooting, issue resolution, and process optimization</li></ul><h2 class="jobSectionHeader"> 
Industry Experience</h2><ul><li>
Telecommunications &ndash; Analytics, Reporting, Self-Service, Technology Migrations</li></ul><h2 class="jobSectionHeader"> 
Preferred Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Analytics, Information Systems, or related field.</li><li>
7+ years of hands-on experience in BI Development, Data Visualization, and Analytics Engineering.</li><li>
Proven experience leading BI projects and small teams.</li><li>
Strong communication and presentation skills for technical and non-technical stakeholders.</li></ul>
S0qHrgGJ8o</div>

BI Engineer (Tableau / MicroStrategy / Data Analytics)

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Azure Data Engineer

Data Engineer

Data Engineer

Data Engineer, Tech

Data Engineer (Azure Platform)

Python Data Engineer (ETL & AWS)

BI Engineer (Tableau / MicroStrategy / Data Analytics)